Dubrovnik, ​​09 June, 2018. The EMVA Young Professional Award 2018 goes to Ms. Doris Antensteiner, for her work “Light Field and Photometric Stereo”. Antensteiner, age 32, obtained a master degree in Computer Science in 2011 and a master degree in Computer Science Management in 2014, both from Vienna University of Technology. Between 2012 and 2015 she worked as “Image Processing Engineer“ in „R&D Video and Sensors“ at Kapsch TrafficCom. Currently, she works at the Austrian Institute of Technology Center for Vision, Automation and Control and is a PhD Candidate at Graz University of Technology.

Light Field and Photometric Stereo

Recovering the shape and reflectance properties of a scene are fundamental problems in computer vision. Conventional imaging systems only provide limited information, since they can’t capture directional radiance information and only provide the sum of light at each image position. Hence, they capture two-dimensional pictures of this world. A more complete description can be achieved by using light field cameras and photometric stereo approaches. The combination of a depth map from light field with surface normals from photometric stereo enables a highly precise depth reconstruction and material analysis.

The awarded work resolves the problematic nature of acquiring a highly precise 3D surface reconstruction of objects with a focus on industrial applications. This is achieved by analyzing light rays passing through the camera lens, which capture a scene illuminated from a defined direction. An optimal fusion of light field and photometric stereo is found using variational methods. Solutions both for area-scan and multi-line scan cameras are achieved. The latter allows the algorithms in the awarded work to be apt for a wide range of industrial applications.

Applications of the results achieved in the work lie in the field of product inspection, defect detection, brand protection, product security and optical inspection of materials. A highly precise 3D reconstruction allows a detailed error detection in production lines. Methods of anti-counterfeiting can be improved by a better description and analysis of the material structure.

Young professional award part of EMVA Business Conference

The EMVA Young Professional Award is an annual award to honor the outstanding and innovative work of a student or a young professional in the field of machine vision or image processing. It is the goal of the European Machine Vision Association EMVA to further support innovation in the machine vision industry, to contribute to the important aspect of dedicated machine vision education and to provide a bridge between research and industry. With the annual Young Professional Award the EMVA intends to specifically encourage students to focus on challenges in the field of machine vision and to apply latest research results and findings in computer vision to the practical needs of the industry. The awardee was announced on June 09 during the 16^th EMVA Business Conference in Dubrovnik/Croatia, where she also had the opportunity to present her work as part of the regular conference program.

The 17^th EMVA Business Conference will take place from 16–18 May, 2019 in Copenhagen/Denmark.

About EMVA:

Founded in May 2003 in Barcelona, the European Machine Vision Association currently has about 120+ members representing more than 20 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members – machine vision companies, research institutions and national machine vision associations. The main fields of work of EMVA are: standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations and marketing. To find out more visit the web site www.emva.org.

Jeremy White to give speech on ‘The Rise of Artificial Intelligence’ / Speaker on Megatrend Deep Learning also confirmed

Barcelona, ​​16 April, 2018. The EMVA proudly announces Mr. Jeremy White giving his keynote titled ‘The Rise of Artificial Intelligence’ at the 2018 edition of the EMVA Business Conference taking place June 7-9 in Dubrovinik/Croatia. Jeremy is executive editor of Wired, the influential technology and trends magazine that covers innovation and the businesses that are building the future. He is in charge of analyzing and identifying emerging trends and technological shifts that will impact consumers and businesses alike.

From the Internet of Things to AI, smart homes to smart cities, flying cars to passenger drones, Jeremy has first-hand experience of emerging trends as well as personal contact with the global business leaders driving them. He has been writing about technology and design for more than 14 years and is also currently the technology expert for Telegraph Luxury, the Robb Report, Boat International, and Harrods. Jeremy also appears regularly on the BBC and Sky News representing the magazine.

In addition to that, the EMVA is happy to announce Mr. Michal Czadybon, General Manager at Adaptive Vision, talking about ‘Deep Learning in Industrial Quality Inspection: Experiences from the field’ in the technical part of the conference program. The Megatrend Deep Learning will also be covered by another speech given by Professor of EECS Jitendra Malik from UC Berkeley who will dedicate this presentation to ‘Deep Learning for Deep Visual Understanding’.

The entire agenda as well as all registration and other details to the EMVA 2018 Business Conference can be viewed at www.business-conference-emva.org.

About EMVA:

Founded in May 2003 in Barcelona, the European Machine Vision Association currently has about 120+ members representing more than 20 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members – machine vision companies, research institutions and national machine vision associations. The main fields of work of EMVA are: standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations and marketing. To find out more visit the web site www.emva.org.

Arnaud Darmont coordinates standardization activities of the association

Barcelona, ​​18 January, 2018. The European Machine Vision Association (EMVA) has appointed Arnaud Darmont as new EMVA Standards Manager. Arnaud will be responsible to promote the European machine vision standardization activities worldwide and to coordinate the development process of machine vision standards. In addition, in a rapidly changing industrial environment another major task will be to identify new standardization needs.

“We are thrilled to have Arnaud joining the EMVA team to fill such an important role as Standards Manager. He brings profound and long machine vision experience in engineering, management and marketing; and has been working on CMOS image sensors, industrial cameras, image quality, and embedded processing. Furthermore, Arnaud is one of the developers of the EMVA1288 standard. We are looking forward to working with him to take the EMVA standardization activities to the next level”, says EMVA President Jochem Herrmann.

Since almost 15 years, the European Machine Vision Association (EMVA) is hosting the development of standards for the machine vision industry with the now well-known and widely used standards GenICam and EMVA1288. GenICam standardizes the high level interfacing of a vision device and a computer. EMVA1288 is a characterization and specification procedure for image sensors and cameras used in machine vision.

Since 2009, the EMVA is collaborating with other international machine vision associations worldwide to work towards a standardization of the technologies and processes in our industry. These joint global standardization activities have become a pillar of the success of machine vision technology in numerous industrial and non-industrial applications.

 About EMVA:

Founded in May 2003 in Barcelona, the European Machine Vision Association currently has about 100+ members representing more than 20 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members – machine vision companies, research institutions and national machine vision associations. The main fields of work of EMVA are: standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations and marketing. To find out more visit the web site www.emva.org.